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October 14, 2025Don’t Let Legacy Code Sink Your Next Deal: What Tech Due Diligence Reveals
When acquiring a tech company, what you don’t see in the codebase often matters more than what you do. I’ve seen deals crumble because buyers underestimated legacy system risks—and others succeed because they asked the right technical questions upfront. Let me show you how code quality assessments make or break M&A transactions.
When Tech Stacks Become Liability Traps
Remember that “temporary fix” your engineering team deployed last year? The one still running in production? That’s what we found during one acquisition audit—except it was a 25-year-old COBOL system handling critical inventory management. Like discovering structural cracks in a house you’re about to buy, outdated tech creates hidden liabilities that derail acquisitions.
3 Codebase Red Flags That Change Deal Math
1. When Homegrown Systems Become Handcuffs
Custom-built solutions often turn into costly anchors. During a SaaS company audit, we uncovered:
- A unique database that refused to talk to modern analytics tools
- Authentication running on security protocols older than some engineers
- Critical business logic with less documentation than a takeout menu
Result? A 40% price reduction to account for rebuild costs.
2. The $2 Million TODO Comment
Undocumented technical debt works like invisible termites. Consider this actual code from a payment system we reviewed:
def calculate_tax(amount):
# TODO: Fix rounding issues before launch (2008)
return round(amount * 0.0875, 2)
Twelve years later, that unreviewed note represented $2 million in post-acquisition fixes. Code comments shouldn’t outlast smartphones.
Stress-Testing Systems Before Signing
Can the target’s infrastructure handle your combined customer load? We ask three make-or-break questions:
The Reality Check Every Buyer Needs
Using load testing tools, we simulate post-merger traffic levels. Recent findings from an e-commerce platform evaluation:
- 78% more abandoned carts during peak loads
- Database slowdowns that worsened exponentially with user growth
- Third-party API failures causing 4 out of 10 checkout crashes
These discoveries secured a $15 million safety net in the final agreement.
Quantifying Code Risks in Black-and-White Terms
Our assessment framework measures what really matters:
- How easily can components be replaced? (Modularity Score 1-10)
- What percentage of systems actually have guides? (Documentation Index)
- Are security vulnerabilities sitting on the balance sheet? (CVE Threat Level)
Our decision engine looks something like this:
// Deal Risk Calculator
const techRiskScore = (
legacyCodePenalty * 1.7 +
(1 - testCoverage) * 0.9 +
criticalCVEs * 2.5
);
if (techRiskScore > 8.0) walkAway();
Practical Steps for Savvy Acquirers
From hundreds of technical audits, here’s what actually works:
1. Become a Code Archaeologist
Don’t just skim current repositories—excavate their history. Red flags include:
- “Fix-production-urgent” branches older than six months
- Commented-out security checks that never got re-enabled
- Force pushes that erased critical updates
Pro tip: Search for “TODO,” “FIXME,” and “HACK” in code comments—they’re debt markers.
2. Expose Zombie Dependencies
Outdated libraries create ticking security bombs. A recent dependency check revealed:
$ npm audit --production
+-- xmlhttprequest@1.6.0 (DEPRECATED)
| `-- vulnerable: prototype pollution
+-- express-session@1.15.6 (UNMAINTAINED)
| `-- 4 critical CVEs
3. Calculate the “Bus Factor”
Knowledge concentration risks can derail integrations. We use:
Bus Factor = 1 / Σ(Expertise Concentration²)
Scores below 2.5 mean one departure could cripple operations.
The Bottom Line: Code Quality Is Your Negotiation Leverage
Technical due diligence isn’t about checklists—it’s about understanding real operational risks before they become your problems. Those legacy systems everyone avoids? They hold the truth about long-term costs. Proper code reviews turn potential disasters into price adjustments, escrow terms, and sometimes… walk-away wisdom. Because in M&A, the real price tag is written in code—not spreadsheets.
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